Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 18333 |
| Missing cells | 30006 |
| Missing cells (%) | 10.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.7 MiB |
| Average record size in memory | 98.0 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 6 |
| Boolean | 1 |
car_type has a high cardinality: 373 distinct values | High cardinality |
first_date has a high cardinality: 214 distinct values | High cardinality |
average_price is highly correlated with price and 1 other fields | High correlation |
price is highly correlated with average_price and 1 other fields | High correlation |
diff_price is highly correlated with average_price and 2 other fields | High correlation |
diff_price_perc is highly correlated with diff_price | High correlation |
average_price is highly correlated with price and 1 other fields | High correlation |
price is highly correlated with average_price and 1 other fields | High correlation |
diff_price is highly correlated with average_price and 2 other fields | High correlation |
diff_price_perc is highly correlated with diff_price | High correlation |
average_price is highly correlated with price | High correlation |
price is highly correlated with average_price and 1 other fields | High correlation |
diff_price is highly correlated with price and 1 other fields | High correlation |
diff_price_perc is highly correlated with diff_price | High correlation |
DI has 11673 (63.7%) missing values | Missing |
sold has 11673 (63.7%) missing values | Missing |
first_date has 6660 (36.3%) missing values | Missing |
car_id is uniformly distributed | Uniform |
car_id has unique values | Unique |
antiquity has 405 (2.2%) zeros | Zeros |
Reproduction
| Analysis started | 2021-05-31 04:32:32.221595 |
|---|---|
| Analysis finished | 2021-05-31 04:32:42.037277 |
| Duration | 9.82 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 18333 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9997.398189 |
| Minimum | 0 |
|---|---|
| Maximum | 19999 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 143.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1015.6 |
| Q1 | 5013 |
| median | 9991 |
| Q3 | 14995 |
| 95-th percentile | 18988.4 |
| Maximum | 19999 |
| Range | 19999 |
| Interquartile range (IQR) | 9982 |
Descriptive statistics
| Standard deviation | 5766.700943 |
|---|---|
| Coefficient of variation (CV) | 0.576820172 |
| Kurtosis | -1.199077161 |
| Mean | 9997.398189 |
| Median Absolute Deviation (MAD) | 4992 |
| Skewness | -0.000379208247 |
| Sum | 183282301 |
| Variance | 33254839.77 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 9534 | 1 | < 0.1% |
| 1354 | 1 | < 0.1% |
| 7497 | 1 | < 0.1% |
| 5448 | 1 | < 0.1% |
| 19779 | 1 | < 0.1% |
| 17730 | 1 | < 0.1% |
| 11583 | 1 | < 0.1% |
| 15677 | 1 | < 0.1% |
| 13644 | 1 | < 0.1% |
| Other values (18323) | 18323 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 |
| Value | Count | Frequency (%) |
| 19999 | 1 | |
| 19998 | 1 | |
| 19997 | 1 | |
| 19996 | 1 | |
| 19995 | 1 | |
| 19994 | 1 | |
| 19993 | 1 | |
| 19991 | 1 | |
| 19990 | 1 | |
| 19989 | 1 |
| Distinct | 373 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 143.4 KiB |
| Serie 1 | 170 |
|---|---|
| Ram 1500 V6 | 158 |
| Odyssey | 140 |
| CR-V | 138 |
| March | 135 |
| Other values (368) |
Length
| Max length | 25 |
|---|---|
| Median length | 6 |
| Mean length | 6.88610702 |
| Min length | 2 |
Characters and Unicode
| Total characters | 126243 |
|---|---|
| Distinct characters | 65 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Supra |
|---|---|
| 2nd row | Supra |
| 3rd row | Supra |
| 4th row | Supra |
| 5th row | Supra |
Common Values
| Value | Count | Frequency (%) |
| Serie 1 | 170 | 0.9% |
| Ram 1500 V6 | 158 | 0.9% |
| Odyssey | 140 | 0.8% |
| CR-V | 138 | 0.8% |
| March | 135 | 0.7% |
| Serie 7 | 135 | 0.7% |
| Transit | 134 | 0.7% |
| Terrain | 132 | 0.7% |
| Cherokee | 132 | 0.7% |
| Saveiro | 132 | 0.7% |
| Other values (363) | 16927 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| clase | 924 | 3.7% |
| serie | 693 | 2.8% |
| ram | 344 | 1.4% |
| cargo | 338 | 1.3% |
| van | 336 | 1.3% |
| quattro | 300 | 1.2% |
| range | 285 | 1.1% |
| rover | 285 | 1.1% |
| v6 | 283 | 1.1% |
| 1500 | 263 | 1.0% |
| Other values (380) | 21113 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 11755 | 9.3% |
| e | 10239 | 8.1% |
| r | 9947 | 7.9% |
| 6904 | 5.5% | |
| o | 6206 | 4.9% |
| i | 5744 | 4.5% |
| n | 5294 | 4.2% |
| t | 4985 | 3.9% |
| C | 4394 | 3.5% |
| s | 4007 | 3.2% |
| Other values (55) | 56768 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 80194 | |
| Uppercase Letter | 27798 | 22.0% |
| Decimal Number | 10795 | 8.6% |
| Space Separator | 6904 | 5.5% |
| Dash Punctuation | 552 | 0.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 11755 | |
| e | 10239 | |
| r | 9947 | |
| o | 6206 | 7.7% |
| i | 5744 | 7.2% |
| n | 5294 | 6.6% |
| t | 4985 | 6.2% |
| s | 4007 | 5.0% |
| l | 3014 | 3.8% |
| u | 2446 | 3.1% |
| Other values (17) | 16557 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 4394 | |
| S | 3834 | |
| R | 2122 | 7.6% |
| M | 1768 | 6.4% |
| T | 1678 | 6.0% |
| V | 1493 | 5.4% |
| A | 1442 | 5.2% |
| X | 1405 | 5.1% |
| L | 1403 | 5.0% |
| E | 1257 | 4.5% |
| Other values (16) | 7002 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3595 | |
| 5 | 1478 | |
| 3 | 1034 | 9.6% |
| 1 | 891 | 8.3% |
| 6 | 819 | 7.6% |
| 4 | 798 | 7.4% |
| 8 | 780 | 7.2% |
| 2 | 719 | 6.7% |
| 7 | 572 | 5.3% |
| 9 | 109 | 1.0% |
Space Separator
| Value | Count | Frequency (%) |
| 6904 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 552 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 107992 | |
| Common | 18251 | 14.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 11755 | 10.9% |
| e | 10239 | 9.5% |
| r | 9947 | 9.2% |
| o | 6206 | 5.7% |
| i | 5744 | 5.3% |
| n | 5294 | 4.9% |
| t | 4985 | 4.6% |
| C | 4394 | 4.1% |
| s | 4007 | 3.7% |
| S | 3834 | 3.6% |
| Other values (43) | 41587 |
Common
| Value | Count | Frequency (%) |
| 6904 | ||
| 0 | 3595 | |
| 5 | 1478 | 8.1% |
| 3 | 1034 | 5.7% |
| 1 | 891 | 4.9% |
| 6 | 819 | 4.5% |
| 4 | 798 | 4.4% |
| 8 | 780 | 4.3% |
| 2 | 719 | 3.9% |
| 7 | 572 | 3.1% |
| Other values (2) | 661 | 3.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 126220 | |
| Latin 1 Sup | 23 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 11755 | 9.3% |
| e | 10239 | 8.1% |
| r | 9947 | 7.9% |
| 6904 | 5.5% | |
| o | 6206 | 4.9% |
| i | 5744 | 4.6% |
| n | 5294 | 4.2% |
| t | 4985 | 3.9% |
| C | 4394 | 3.5% |
| s | 4007 | 3.2% |
| Other values (54) | 56745 |
Latin 1 Sup
| Value | Count | Frequency (%) |
| ó | 23 |
color
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 143.4 KiB |
| Black | |
|---|---|
| White | |
| Red | |
| Blue | |
| Orange | 552 |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 4.460262914 |
| Min length | 3 |
Characters and Unicode
| Total characters | 81770 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Blue |
|---|---|
| 2nd row | Black |
| 3rd row | Black |
| 4th row | Blue |
| 5th row | Black |
Common Values
| Value | Count | Frequency (%) |
| Black | 6415 | |
| White | 4625 | |
| Red | 3706 | |
| Blue | 3035 | |
| Orange | 552 | 3.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| black | 6415 | |
| white | 4625 | |
| red | 3706 | |
| blue | 3035 | |
| orange | 552 | 3.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 11918 | |
| B | 9450 | |
| l | 9450 | |
| a | 6967 | |
| c | 6415 | |
| k | 6415 | |
| W | 4625 | 5.7% |
| h | 4625 | 5.7% |
| i | 4625 | 5.7% |
| t | 4625 | 5.7% |
| Other values (7) | 12655 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 63437 | |
| Uppercase Letter | 18333 | 22.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 11918 | |
| l | 9450 | |
| a | 6967 | |
| c | 6415 | |
| k | 6415 | |
| h | 4625 | 7.3% |
| i | 4625 | 7.3% |
| t | 4625 | 7.3% |
| d | 3706 | 5.8% |
| u | 3035 | 4.8% |
| Other values (3) | 1656 | 2.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 9450 | |
| W | 4625 | |
| R | 3706 | 20.2% |
| O | 552 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 81770 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 11918 | |
| B | 9450 | |
| l | 9450 | |
| a | 6967 | |
| c | 6415 | |
| k | 6415 | |
| W | 4625 | 5.7% |
| h | 4625 | 5.7% |
| i | 4625 | 5.7% |
| t | 4625 | 5.7% |
| Other values (7) | 12655 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 81770 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 11918 | |
| B | 9450 | |
| l | 9450 | |
| a | 6967 | |
| c | 6415 | |
| k | 6415 | |
| W | 4625 | 5.7% |
| h | 4625 | 5.7% |
| i | 4625 | 5.7% |
| t | 4625 | 5.7% |
| Other values (7) | 12655 |
km
Real number (ℝ≥0)
| Distinct | 18328 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25285230.58 |
| Minimum | 1394070 |
|---|---|
| Maximum | 49452737 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 71.7 KiB |
Quantile statistics
| Minimum | 1394070 |
|---|---|
| 5-th percentile | 10621811.8 |
| Q1 | 18990785 |
| median | 25306193 |
| Q3 | 31534749 |
| 95-th percentile | 40074969 |
| Maximum | 49452737 |
| Range | 48058667 |
| Interquartile range (IQR) | 12543964 |
Descriptive statistics
| Standard deviation | 8920231.687 |
|---|---|
| Coefficient of variation (CV) | 0.352784273 |
| Kurtosis | -0.4563884981 |
| Mean | 25285230.58 |
| Median Absolute Deviation (MAD) | 6266302 |
| Skewness | 0.02280199573 |
| Sum | 4.635541321 × 1011 |
| Variance | 7.957053335 × 1013 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 26147715 | 2 | < 0.1% |
| 30179528 | 2 | < 0.1% |
| 35675327 | 2 | < 0.1% |
| 28361231 | 2 | < 0.1% |
| 18804442 | 2 | < 0.1% |
| 28391599 | 1 | < 0.1% |
| 27176287 | 1 | < 0.1% |
| 29556917 | 1 | < 0.1% |
| 14114097 | 1 | < 0.1% |
| 20237619 | 1 | < 0.1% |
| Other values (18318) | 18318 |
| Value | Count | Frequency (%) |
| 1394070 | 1 | |
| 1620426 | 1 | |
| 1646143 | 1 | |
| 1660807 | 1 | |
| 1708590 | 1 | |
| 1818247 | 1 | |
| 1859642 | 1 | |
| 1890364 | 1 | |
| 1891943 | 1 | |
| 2045134 | 1 |
| Value | Count | Frequency (%) |
| 49452737 | 1 | |
| 49416201 | 1 | |
| 49404285 | 1 | |
| 49061130 | 1 | |
| 48822502 | 1 | |
| 48707264 | 1 | |
| 48695728 | 1 | |
| 48648519 | 1 | |
| 48617054 | 1 | |
| 48570426 | 1 |
| Distinct | 700 |
|---|---|
| Distinct (%) | 3.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 551575.625 |
| Minimum | 101729 |
|---|---|
| Maximum | 997705 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 71.7 KiB |
Quantile statistics
| Minimum | 101729 |
|---|---|
| 5-th percentile | 149481 |
| Q1 | 330625 |
| median | 559715 |
| Q3 | 779453 |
| 95-th percentile | 951729 |
| Maximum | 997705 |
| Range | 895976 |
| Interquartile range (IQR) | 448828 |
Descriptive statistics
| Standard deviation | 257173.25 |
|---|---|
| Coefficient of variation (CV) | 0.4662520289 |
| Kurtosis | -1.208065629 |
| Mean | 551575.625 |
| Median Absolute Deviation (MAD) | 226560 |
| Skewness | -0.02829320543 |
| Sum | 1.011203584 × 1010 |
| Variance | 6.613808333 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 307812 | 45 | 0.2% |
| 238184 | 43 | 0.2% |
| 133420 | 42 | 0.2% |
| 820251 | 40 | 0.2% |
| 671026 | 39 | 0.2% |
| 469923 | 39 | 0.2% |
| 598395 | 38 | 0.2% |
| 196372 | 38 | 0.2% |
| 652988 | 38 | 0.2% |
| 121909 | 38 | 0.2% |
| Other values (690) | 17933 |
| Value | Count | Frequency (%) |
| 101729 | 30 | |
| 102486 | 21 | |
| 106132 | 26 | |
| 106227 | 29 | |
| 107583 | 22 | |
| 108056 | 32 | |
| 112643 | 19 | |
| 117277 | 27 | |
| 120985 | 27 | |
| 121909 | 38 |
| Value | Count | Frequency (%) |
| 997705 | 19 | |
| 997104 | 25 | |
| 997067 | 37 | |
| 993481 | 24 | |
| 992179 | 26 | |
| 992167 | 26 | |
| 990878 | 16 | |
| 988968 | 23 | |
| 986711 | 29 | |
| 986078 | 33 |
transmission
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 143.4 KiB |
| Automatic | |
|---|---|
| Manual |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 8.379315988 |
| Min length | 6 |
Characters and Unicode
| Total characters | 153618 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Manual |
|---|---|
| 2nd row | Manual |
| 3rd row | Manual |
| 4th row | Manual |
| 5th row | Manual |
Common Values
| Value | Count | Frequency (%) |
| Automatic | 14540 | |
| Manual | 3793 | 20.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| automatic | 14540 | |
| manual | 3793 | 20.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 29080 | |
| a | 22126 | |
| u | 18333 | |
| A | 14540 | |
| o | 14540 | |
| m | 14540 | |
| i | 14540 | |
| c | 14540 | |
| M | 3793 | 2.5% |
| n | 3793 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 135285 | |
| Uppercase Letter | 18333 | 11.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 29080 | |
| a | 22126 | |
| u | 18333 | |
| o | 14540 | |
| m | 14540 | |
| i | 14540 | |
| c | 14540 | |
| n | 3793 | 2.8% |
| l | 3793 | 2.8% |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 14540 | |
| M | 3793 | 20.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 153618 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 29080 | |
| a | 22126 | |
| u | 18333 | |
| A | 14540 | |
| o | 14540 | |
| m | 14540 | |
| i | 14540 | |
| c | 14540 | |
| M | 3793 | 2.5% |
| n | 3793 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 153618 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 29080 | |
| a | 22126 | |
| u | 18333 | |
| A | 14540 | |
| o | 14540 | |
| m | 14540 | |
| i | 14540 | |
| c | 14540 | |
| M | 3793 | 2.5% |
| n | 3793 | 2.5% |
body_type
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 143.4 KiB |
| Sedan | |
|---|---|
| SUV | |
| Coupe | |
| Truck | 832 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.504281896 |
| Min length | 3 |
Characters and Unicode
| Total characters | 82577 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sedan |
|---|---|
| 2nd row | Sedan |
| 3rd row | Sedan |
| 4th row | Sedan |
| 5th row | Sedan |
Common Values
| Value | Count | Frequency (%) |
| Sedan | 10797 | |
| SUV | 4544 | |
| Coupe | 2160 | 11.8% |
| Truck | 832 | 4.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| sedan | 10797 | |
| suv | 4544 | |
| coupe | 2160 | 11.8% |
| truck | 832 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 15341 | |
| e | 12957 | |
| d | 10797 | |
| a | 10797 | |
| n | 10797 | |
| U | 4544 | 5.5% |
| V | 4544 | 5.5% |
| u | 2992 | 3.6% |
| C | 2160 | 2.6% |
| o | 2160 | 2.6% |
| Other values (5) | 5488 | 6.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 55156 | |
| Uppercase Letter | 27421 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 12957 | |
| d | 10797 | |
| a | 10797 | |
| n | 10797 | |
| u | 2992 | 5.4% |
| o | 2160 | 3.9% |
| p | 2160 | 3.9% |
| r | 832 | 1.5% |
| c | 832 | 1.5% |
| k | 832 | 1.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 15341 | |
| U | 4544 | 16.6% |
| V | 4544 | 16.6% |
| C | 2160 | 7.9% |
| T | 832 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 82577 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 15341 | |
| e | 12957 | |
| d | 10797 | |
| a | 10797 | |
| n | 10797 | |
| U | 4544 | 5.5% |
| V | 4544 | 5.5% |
| u | 2992 | 3.6% |
| C | 2160 | 2.6% |
| o | 2160 | 2.6% |
| Other values (5) | 5488 | 6.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 82577 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| S | 15341 | |
| e | 12957 | |
| d | 10797 | |
| a | 10797 | |
| n | 10797 | |
| U | 4544 | 5.5% |
| V | 4544 | 5.5% |
| u | 2992 | 3.6% |
| C | 2160 | 2.6% |
| o | 2160 | 2.6% |
| Other values (5) | 5488 | 6.6% |
| Distinct | 101 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 11673 |
| Missing (%) | 63.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.99414414 |
| Minimum | 1 |
|---|---|
| Maximum | 131 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 143.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 9 |
| median | 20 |
| Q3 | 34 |
| 95-th percentile | 56 |
| Maximum | 131 |
| Range | 130 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 17.3555903 |
|---|---|
| Coefficient of variation (CV) | 0.7547830523 |
| Kurtosis | 1.064841899 |
| Mean | 22.99414414 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0.9817592878 |
| Sum | 153141 |
| Variance | 301.2165147 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 235 | 1.3% |
| 3 | 222 | 1.2% |
| 2 | 220 | 1.2% |
| 4 | 203 | 1.1% |
| 5 | 202 | 1.1% |
| 6 | 194 | 1.1% |
| 8 | 189 | 1.0% |
| 10 | 176 | 1.0% |
| 7 | 170 | 0.9% |
| 11 | 166 | 0.9% |
| Other values (91) | 4683 | |
| (Missing) | 11673 |
| Value | Count | Frequency (%) |
| 1 | 235 | |
| 2 | 220 | |
| 3 | 222 | |
| 4 | 203 | |
| 5 | 202 | |
| 6 | 194 | |
| 7 | 170 | |
| 8 | 189 | |
| 9 | 166 | |
| 10 | 176 |
| Value | Count | Frequency (%) |
| 131 | 1 | |
| 115 | 1 | |
| 113 | 1 | |
| 111 | 1 | |
| 107 | 1 | |
| 105 | 1 | |
| 101 | 1 | |
| 99 | 1 | |
| 96 | 1 | |
| 95 | 2 |
| Distinct | 18152 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 603549.0625 |
| Minimum | 98972 |
|---|---|
| Maximum | 1175730 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 71.7 KiB |
Quantile statistics
| Minimum | 98972 |
|---|---|
| 5-th percentile | 164036.8 |
| Q1 | 357402 |
| median | 608859 |
| Q3 | 851566 |
| 95-th percentile | 1041221.4 |
| Maximum | 1175730 |
| Range | 1076758 |
| Interquartile range (IQR) | 494164 |
Descriptive statistics
| Standard deviation | 283352.125 |
|---|---|
| Coefficient of variation (CV) | 0.4694765508 |
| Kurtosis | -1.174217105 |
| Mean | 603549.0625 |
| Median Absolute Deviation (MAD) | 246789 |
| Skewness | -0.002718279604 |
| Sum | 1.106486477 × 1010 |
| Variance | 8.028842394 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 200131 | 3 | < 0.1% |
| 865562 | 2 | < 0.1% |
| 253301 | 2 | < 0.1% |
| 832461 | 2 | < 0.1% |
| 992410 | 2 | < 0.1% |
| 400242 | 2 | < 0.1% |
| 552063 | 2 | < 0.1% |
| 245609 | 2 | < 0.1% |
| 646595 | 2 | < 0.1% |
| 580963 | 2 | < 0.1% |
| Other values (18142) | 18312 |
| Value | Count | Frequency (%) |
| 98972 | 1 | |
| 99399 | 1 | |
| 103410 | 1 | |
| 103478 | 1 | |
| 103865 | 1 | |
| 103922 | 1 | |
| 104134 | 1 | |
| 104432 | 1 | |
| 104567 | 1 | |
| 104672 | 1 |
| Value | Count | Frequency (%) |
| 1175730 | 1 | |
| 1172070 | 1 | |
| 1172007 | 1 | |
| 1171435 | 1 | |
| 1168799 | 1 | |
| 1168516 | 1 | |
| 1166356 | 1 | |
| 1166190 | 1 | |
| 1165003 | 1 | |
| 1164050 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 11673 |
| Missing (%) | 63.7% |
| Memory size | 35.9 KiB |
| True | |
|---|---|
| False | 1153 |
| (Missing) |
| Value | Count | Frequency (%) |
| True | 5507 | |
| False | 1153 | 6.3% |
| (Missing) | 11673 |
| Distinct | 214 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 6660 |
| Missing (%) | 36.3% |
| Memory size | 143.4 KiB |
| 2019-08-27 | 75 |
|---|---|
| 2019-06-10 | 72 |
| 2019-07-24 | 72 |
| 2019-06-21 | 71 |
| 2019-08-12 | 71 |
| Other values (209) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 116730 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2019-08-14 |
|---|---|
| 2nd row | 2019-12-28 |
| 3rd row | 2019-11-05 |
| 4th row | 2019-08-26 |
| 5th row | 2019-08-07 |
Common Values
| Value | Count | Frequency (%) |
| 2019-08-27 | 75 | 0.4% |
| 2019-06-10 | 72 | 0.4% |
| 2019-07-24 | 72 | 0.4% |
| 2019-06-21 | 71 | 0.4% |
| 2019-08-12 | 71 | 0.4% |
| 2019-12-04 | 70 | 0.4% |
| 2019-06-30 | 69 | 0.4% |
| 2019-08-20 | 69 | 0.4% |
| 2019-12-25 | 68 | 0.4% |
| 2019-06-15 | 67 | 0.4% |
| Other values (204) | 10969 | |
| (Missing) | 6660 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2019-08-27 | 75 | 0.6% |
| 2019-07-24 | 72 | 0.6% |
| 2019-06-10 | 72 | 0.6% |
| 2019-08-12 | 71 | 0.6% |
| 2019-06-21 | 71 | 0.6% |
| 2019-12-04 | 70 | 0.6% |
| 2019-08-20 | 69 | 0.6% |
| 2019-06-30 | 69 | 0.6% |
| 2019-12-25 | 68 | 0.6% |
| 2019-06-15 | 67 | 0.6% |
| Other values (204) | 10969 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 24711 | |
| - | 23346 | |
| 1 | 23340 | |
| 2 | 18332 | |
| 9 | 14405 | |
| 8 | 2931 | 2.5% |
| 6 | 2832 | 2.4% |
| 7 | 2797 | 2.4% |
| 3 | 1752 | 1.5% |
| 5 | 1155 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 93384 | |
| Dash Punctuation | 23346 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 24711 | |
| 1 | 23340 | |
| 2 | 18332 | |
| 9 | 14405 | |
| 8 | 2931 | 3.1% |
| 6 | 2832 | 3.0% |
| 7 | 2797 | 3.0% |
| 3 | 1752 | 1.9% |
| 5 | 1155 | 1.2% |
| 4 | 1129 | 1.2% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 23346 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 116730 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 24711 | |
| - | 23346 | |
| 1 | 23340 | |
| 2 | 18332 | |
| 9 | 14405 | |
| 8 | 2931 | 2.5% |
| 6 | 2832 | 2.4% |
| 7 | 2797 | 2.4% |
| 3 | 1752 | 1.5% |
| 5 | 1155 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 116730 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 24711 | |
| - | 23346 | |
| 1 | 23340 | |
| 2 | 18332 | |
| 9 | 14405 | |
| 8 | 2931 | 2.5% |
| 6 | 2832 | 2.4% |
| 7 | 2797 | 2.4% |
| 3 | 1752 | 1.5% |
| 5 | 1155 | 1.0% |
| Distinct | 16919 |
|---|---|
| Distinct (%) | 92.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -51973.45732 |
| Minimum | -178663 |
|---|---|
| Maximum | 10314 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 18294 |
| Negative (%) | 99.8% |
| Memory size | 143.4 KiB |
Quantile statistics
| Minimum | -178663 |
|---|---|
| 5-th percentile | -129140.8 |
| Q1 | -76580 |
| median | -42721 |
| Q3 | -20134 |
| 95-th percentile | -6497.8 |
| Maximum | 10314 |
| Range | 188977 |
| Interquartile range (IQR) | 56446 |
Descriptive statistics
| Standard deviation | 38664.47826 |
|---|---|
| Coefficient of variation (CV) | -0.7439273864 |
| Kurtosis | -0.09974256639 |
| Mean | -51973.45732 |
| Median Absolute Deviation (MAD) | 25644 |
| Skewness | -0.842080187 |
| Sum | -952829393 |
| Variance | 1494941879 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -34981 | 4 | < 0.1% |
| -13329 | 4 | < 0.1% |
| -37977 | 4 | < 0.1% |
| -47413 | 4 | < 0.1% |
| -21248 | 4 | < 0.1% |
| -17550 | 4 | < 0.1% |
| -20586 | 4 | < 0.1% |
| -13325 | 4 | < 0.1% |
| -6713 | 3 | < 0.1% |
| -47391 | 3 | < 0.1% |
| Other values (16909) | 18295 |
| Value | Count | Frequency (%) |
| -178663 | 1 | |
| -178526 | 1 | |
| -176632 | 1 | |
| -175568 | 1 | |
| -175460 | 1 | |
| -175363 | 1 | |
| -175082 | 1 | |
| -175035 | 1 | |
| -175003 | 1 | |
| -174177 | 1 |
| Value | Count | Frequency (%) |
| 10314 | 1 | |
| 8611 | 1 | |
| 6503 | 1 | |
| 5698 | 1 | |
| 4585 | 1 | |
| 3788 | 1 | |
| 2807 | 1 | |
| 2780 | 1 | |
| 2743 | 1 | |
| 2580 | 1 |
| Distinct | 18329 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.09366516909 |
| Minimum | -0.179993965 |
|---|---|
| Maximum | 0.08004052685 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 18294 |
| Negative (%) | 99.8% |
| Memory size | 143.4 KiB |
Quantile statistics
| Minimum | -0.179993965 |
|---|---|
| 5-th percentile | -0.1694551493 |
| Q1 | -0.1355795484 |
| median | -0.09432077725 |
| Q3 | -0.05135914869 |
| 95-th percentile | -0.01727285364 |
| Maximum | 0.08004052685 |
| Range | 0.2600344918 |
| Interquartile range (IQR) | 0.08422039967 |
Descriptive statistics
| Standard deviation | 0.04900667101 |
|---|---|
| Coefficient of variation (CV) | -0.5232112586 |
| Kurtosis | -1.163080009 |
| Mean | -0.09366516909 |
| Median Absolute Deviation (MAD) | 0.04207049309 |
| Skewness | 0.03080984319 |
| Sum | -1717.163545 |
| Variance | 0.002401653803 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.1284144137 | 2 | < 0.1% |
| -0.1470591558 | 2 | < 0.1% |
| -0.09672408063 | 2 | < 0.1% |
| -0.09421532728 | 2 | < 0.1% |
| -0.09574303587 | 1 | < 0.1% |
| -0.1136558862 | 1 | < 0.1% |
| -0.165255878 | 1 | < 0.1% |
| -0.07808213441 | 1 | < 0.1% |
| -0.06809119792 | 1 | < 0.1% |
| -0.1110804614 | 1 | < 0.1% |
| Other values (18319) | 18319 |
| Value | Count | Frequency (%) |
| -0.179993965 | 1 | |
| -0.1799864496 | 1 | |
| -0.1799737348 | 1 | |
| -0.1799675671 | 1 | |
| -0.1799397721 | 1 | |
| -0.1799260363 | 1 | |
| -0.1799234888 | 1 | |
| -0.1799107624 | 1 | |
| -0.1798868601 | 1 | |
| -0.1798759463 | 1 |
| Value | Count | Frequency (%) |
| 0.08004052685 | 1 | |
| 0.05110190654 | 1 | |
| 0.03047416775 | 1 | |
| 0.0291952103 | 1 | |
| 0.02290399001 | 1 | |
| 0.02271691308 | 1 | |
| 0.01726403649 | 1 | |
| 0.01687649833 | 1 | |
| 0.0133825007 | 1 | |
| 0.01293917793 | 1 |
car_brand
Categorical
| Distinct | 47 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 143.4 KiB |
| Nissan | |
|---|---|
| Mercedes Benz | |
| Chevrolet | 1222 |
| Ford | 1173 |
| Volkswagen | 1082 |
| Other values (42) |
Length
| Max length | 13 |
|---|---|
| Median length | 6 |
| Mean length | 6.47182676 |
| Min length | 3 |
Characters and Unicode
| Total characters | 118648 |
|---|---|
| Distinct characters | 43 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Toyota |
|---|---|
| 2nd row | Toyota |
| 3rd row | Toyota |
| 4th row | Toyota |
| 5th row | Toyota |
Common Values
| Value | Count | Frequency (%) |
| Nissan | 1303 | 7.1% |
| Mercedes Benz | 1279 | 7.0% |
| Chevrolet | 1222 | 6.7% |
| Ford | 1173 | 6.4% |
| Volkswagen | 1082 | 5.9% |
| Audi | 1040 | 5.7% |
| Dodge | 1038 | 5.7% |
| BMW | 909 | 5.0% |
| Honda | 890 | 4.9% |
| Toyota | 856 | 4.7% |
| Other values (37) | 7541 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| nissan | 1303 | 6.5% |
| mercedes | 1279 | 6.4% |
| benz | 1279 | 6.4% |
| chevrolet | 1222 | 6.1% |
| ford | 1173 | 5.8% |
| volkswagen | 1082 | 5.4% |
| audi | 1040 | 5.2% |
| dodge | 1038 | 5.2% |
| bmw | 909 | 4.5% |
| honda | 890 | 4.4% |
| Other values (38) | 8879 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 13773 | 11.6% |
| o | 9825 | 8.3% |
| a | 8364 | 7.0% |
| n | 7068 | 6.0% |
| d | 6537 | 5.5% |
| s | 6323 | 5.3% |
| r | 5659 | 4.8% |
| i | 5631 | 4.7% |
| t | 4526 | 3.8% |
| u | 4397 | 3.7% |
| Other values (33) | 46545 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 93615 | |
| Uppercase Letter | 23242 | 19.6% |
| Space Separator | 1791 | 1.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 13773 | |
| o | 9825 | |
| a | 8364 | 8.9% |
| n | 7068 | 7.6% |
| d | 6537 | 7.0% |
| s | 6323 | 6.8% |
| r | 5659 | 6.0% |
| i | 5631 | 6.0% |
| t | 4526 | 4.8% |
| u | 4397 | 4.7% |
| Other values (13) | 21512 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 3375 | |
| B | 2498 | 10.7% |
| C | 2090 | 9.0% |
| A | 1546 | 6.7% |
| V | 1472 | 6.3% |
| F | 1327 | 5.7% |
| N | 1303 | 5.6% |
| H | 1168 | 5.0% |
| R | 1054 | 4.5% |
| D | 1038 | 4.5% |
| Other values (9) | 6371 |
Space Separator
| Value | Count | Frequency (%) |
| 1791 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 116857 | |
| Common | 1791 | 1.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 13773 | 11.8% |
| o | 9825 | 8.4% |
| a | 8364 | 7.2% |
| n | 7068 | 6.0% |
| d | 6537 | 5.6% |
| s | 6323 | 5.4% |
| r | 5659 | 4.8% |
| i | 5631 | 4.8% |
| t | 4526 | 3.9% |
| u | 4397 | 3.8% |
| Other values (32) | 44754 |
Common
| Value | Count | Frequency (%) |
| 1791 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 118648 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 13773 | 11.6% |
| o | 9825 | 8.3% |
| a | 8364 | 7.0% |
| n | 7068 | 6.0% |
| d | 6537 | 5.5% |
| s | 6323 | 5.3% |
| r | 5659 | 4.8% |
| i | 5631 | 4.7% |
| t | 4526 | 3.8% |
| u | 4397 | 3.7% |
| Other values (33) | 46545 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.710576556 |
| Minimum | 0 |
|---|---|
| Maximum | 13 |
| Zeros | 405 |
| Zeros (%) | 2.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 71.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 7 |
| Q3 | 10 |
| 95-th percentile | 13 |
| Maximum | 13 |
| Range | 13 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 3.848641332 |
|---|---|
| Coefficient of variation (CV) | 0.5735187283 |
| Kurtosis | -1.190260072 |
| Mean | 6.710576556 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.02196872808 |
| Sum | 123025 |
| Variance | 14.81204011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 9 | 1694 | |
| 1 | 1596 | |
| 3 | 1537 | 8.4% |
| 8 | 1464 | 8.0% |
| 4 | 1442 | 7.9% |
| 13 | 1369 | 7.5% |
| 5 | 1353 | 7.4% |
| 12 | 1333 | 7.3% |
| 7 | 1316 | 7.2% |
| 10 | 1311 | 7.2% |
| Other values (4) | 3918 |
| Value | Count | Frequency (%) |
| 0 | 405 | 2.2% |
| 1 | 1596 | |
| 2 | 1284 | |
| 3 | 1537 | |
| 4 | 1442 | |
| 5 | 1353 | |
| 6 | 1175 | |
| 7 | 1316 | |
| 8 | 1464 | |
| 9 | 1694 |
| Value | Count | Frequency (%) |
| 13 | 1369 | |
| 12 | 1333 | |
| 11 | 1054 | |
| 10 | 1311 | |
| 9 | 1694 | |
| 8 | 1464 | |
| 7 | 1316 | |
| 6 | 1175 | |
| 5 | 1353 | |
| 4 | 1442 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| car_id | car_type | color | km | average_price | transmission | body_type | DI | price | sold | first_date | diff_price | diff_price_perc | car_brand | antiquity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Supra | Blue | 25848512 | 194799.0 | Manual | Sedan | NaN | 228071.0 | <NA> | 2019-08-14 | -33272.0 | -0.170802 | Toyota | 1 |
| 1 | 112 | Supra | Black | 25913421 | 194799.0 | Manual | Sedan | NaN | 208220.0 | <NA> | 2019-12-28 | -13421.0 | -0.068897 | Toyota | 1 |
| 2 | 1497 | Supra | Black | 24069281 | 194799.0 | Manual | Sedan | NaN | 197099.0 | <NA> | 2019-11-05 | -2300.0 | -0.011807 | Toyota | 1 |
| 3 | 1891 | Supra | Blue | 21828354 | 194799.0 | Manual | Sedan | 27.0 | 211287.0 | True | NaN | -16488.0 | -0.084641 | Toyota | 1 |
| 4 | 1955 | Supra | Black | 25620849 | 194799.0 | Manual | Sedan | NaN | 213144.0 | <NA> | 2019-08-26 | -18345.0 | -0.094174 | Toyota | 1 |
| 5 | 2435 | Supra | Blue | 19606492 | 194799.0 | Manual | Sedan | NaN | 204643.0 | <NA> | 2019-08-07 | -9844.0 | -0.050534 | Toyota | 1 |
| 6 | 2645 | Supra | White | 21322640 | 194799.0 | Manual | Sedan | 12.0 | 216338.0 | False | NaN | -21539.0 | -0.110570 | Toyota | 1 |
| 7 | 3640 | Supra | Black | 27858456 | 194799.0 | Manual | Sedan | NaN | 227949.0 | <NA> | 2019-11-26 | -33150.0 | -0.170175 | Toyota | 1 |
| 8 | 3743 | Supra | Red | 20518362 | 194799.0 | Manual | Sedan | 13.0 | 212860.0 | True | NaN | -18061.0 | -0.092716 | Toyota | 1 |
| 9 | 4405 | Supra | White | 24583516 | 194799.0 | Manual | Sedan | NaN | 202939.0 | <NA> | 2019-08-11 | -8140.0 | -0.041787 | Toyota | 1 |
Last rows
| car_id | car_type | color | km | average_price | transmission | body_type | DI | price | sold | first_date | diff_price | diff_price_perc | car_brand | antiquity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18323 | 14019 | S80 | Blue | 12582104 | 142081.0 | Automatic | SUV | NaN | 161964.0 | <NA> | 2019-09-13 | -19883.0 | -0.139941 | Volvo | 7 |
| 18324 | 15396 | S80 | Red | 18468745 | 142081.0 | Automatic | SUV | 5.0 | 159724.0 | False | NaN | -17643.0 | -0.124176 | Volvo | 7 |
| 18325 | 15629 | S80 | Blue | 15260331 | 142081.0 | Automatic | SUV | 8.0 | 152244.0 | False | NaN | -10163.0 | -0.071530 | Volvo | 7 |
| 18326 | 15855 | S80 | White | 14868440 | 142081.0 | Automatic | SUV | NaN | 159666.0 | <NA> | 2019-12-18 | -17585.0 | -0.123767 | Volvo | 7 |
| 18327 | 16169 | S80 | Black | 14111995 | 142081.0 | Automatic | SUV | NaN | 157873.0 | <NA> | 2019-10-26 | -15792.0 | -0.111148 | Volvo | 7 |
| 18328 | 16468 | S80 | Black | 14232987 | 142081.0 | Automatic | SUV | NaN | 150419.0 | <NA> | 2019-06-16 | -8338.0 | -0.058685 | Volvo | 7 |
| 18329 | 16971 | S80 | Black | 18144875 | 142081.0 | Automatic | SUV | NaN | 157175.0 | <NA> | 2019-11-03 | -15094.0 | -0.106235 | Volvo | 7 |
| 18330 | 17013 | S80 | Red | 16447711 | 142081.0 | Automatic | SUV | NaN | 144139.0 | <NA> | 2019-08-12 | -2058.0 | -0.014485 | Volvo | 7 |
| 18331 | 18235 | S80 | Red | 11665859 | 142081.0 | Automatic | SUV | 5.0 | 157358.0 | True | NaN | -15277.0 | -0.107523 | Volvo | 7 |
| 18332 | 18543 | S80 | Black | 18127179 | 142081.0 | Automatic | SUV | NaN | 159423.0 | <NA> | 2019-06-22 | -17342.0 | -0.122057 | Volvo | 7 |